InforLorV4, Hal, Corpus, bibRecord, 002F47

Local Word Confidence Measure Using Word Graph and N-Best List

Identifieur interne : 002F47 ( Hal/Corpus ); précédent : 002F46; suivant : 002F48

Local Word Confidence Measure Using Word Graph and N-Best List

Auteurs : Joseph Razik ; Odile Mella ; Dominique Fohr ; Jean-Paul Haton

Source :

RBID : Hal:hal-00013775

English descriptors

mix :
- confidence measure, n-best list, speech recognition, wordgraph.

Abstract

This paper presents some confidence measures for large vocabulary speech recognition which are based on word graph or N-Best List structures. More and more applications need fast estimation of any measures in order to stay real-time. We propose some simple and fast measures, locally computed, that can be directly used within the first decoding recognition process. We also define some other measures combining word graph and N-Best List. Experimental results on a French broadcast news corpus are also presented.

Url:

https://hal.archives-ouvertes.fr/hal-00013775

Links to Exploration step

Hal:hal-00013775

Le document en format XML

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<abstract xml:lang="en">This paper presents some confidence measures for large vocabulary speech recognition which are based on word graph or N-Best List structures. More and more applications need fast estimation of any measures in order to stay real-time. We propose some simple and fast measures, locally computed, that can be directly used within the first decoding recognition process. We also define some other measures combining word graph and N-Best List. Experimental results on a French broadcast news corpus are also presented.</abstract>
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Local Word Confidence Measure Using Word Graph and N-Best List

Local Word Confidence Measure Using Word Graph and N-Best List

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